Triple

T18777491
Position Surface form Disambiguated ID Type / Status
Subject Blackie Chen E459168 entity
Predicate partner P1136 FINISHED
Object Christine Fan NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Christine Fan | Statement: [Blackie Chen, partner, Christine Fan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christine Fan
Context triple: [Blackie Chen, partner, Christine Fan]
  • A. Christine Fan chosen
    Christine Fan is a Taiwanese-American Mandopop singer, songwriter, and television host known for her mellow ballads and work in Chinese-language entertainment.
  • B. Christina Chang
    Christina Chang is a Taiwanese-American actress best known for her role as Dr. Audrey Lim on the medical drama series "The Good Doctor."
  • C. Christine Ko
    Christine Ko is a Taiwanese-American actress known for her roles in television series such as Dave, The Great Indoors, and Upload.
  • D. Melissa Chiu
    Melissa Chiu is an Australian-born art historian and curator known for her leadership roles in major contemporary art institutions, including directing the Hirshhorn Museum and Sculpture Garden in Washington, D.C.
  • E. Christina Chong
    Christina Chong is a British actress best known for her role as La’an Noonien-Singh in the television series "Star Trek: Strange New Worlds."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5933c640081909bb6fbaa1a21d411 completed April 20, 2026, 2:45 a.m.
Created at: April 10, 2026, 11:52 a.m.